Download PDF
Canva's 360-Degree Customer View with Fivetran
Technology Category
- Analytics & Modeling - Big Data Analytics
- Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries
- Buildings
- Cement
Applicable Functions
- Product Research & Development
- Sales & Marketing
Use Cases
- Behavior & Emotion Tracking
- Building Automation & Control
Services
- Cloud Planning, Design & Implementation Services
- Data Science Services
The Challenge
Canva, an online design and publishing tool, was under pressure to grow its customer base across three service levels—free, pro, and enterprise. The sales, marketing, and engagement teams needed to identify targets, understand their behavior, and deliver the right message at the right time on the right platform. This required a 360-degree view of the customer across Canva’s digital properties and third-party platforms such as Google, Facebook, and other social media and SaaS tools. The main challenge was the lack of comparison insight. There was no way to analyze Facebook data against Google data or any other platform. Building a point-to-point architecture to pull data into competing platforms would be messy and expensive to maintain. The custom-built solution functioned as intended, but the demand for connectors to more data sources was growing, and the time and resources required to build these connectors were not scalable.
About The Customer
Canva is an online design and publishing tool that aims to empower everyone in the world to design anything and publish anywhere. As a scaleup company, it offers three distinct service levels—free, pro, and enterprise. The company's success depends on its ability to identify targets, understand their behavior, and deliver the right message at the right time on the right platform. This requires a comprehensive understanding of customer behavior across Canva’s digital properties and third-party platforms such as Google, Facebook, and other social media and SaaS tools.
The Solution
Greg Roodt, Head of Data Platforms at Canva, decided to build a hub-and-spoke data pipeline to pull everything into a central data warehouse. After researching the data integration market, he chose Fivetran for its ease of setting up connectors to popular marketing, sales, and engagement platforms. Canva now uses Fivetran to pull marketing and sales analytics from dozens of platforms in the cloud to the company’s data platform managed by Snowflake. Insights derived through the company’s business intelligence tools, Looker and Mode Analytics, allow marketers to make necessary tweaks in engagement and optimize results. The aggregate information from Fivetran’s Google Adwords, Bing, and iTunes connectors can be combined with first-party data from various Canva digital properties, providing a complete, 360-degree view of the customer. Adding connectors is easy, and custom connectors can be created within a few days if needed.
Operational Impact
Quantitative Benefit
Related Case Studies.
Case Study
Energy Saving & Power Monitoring System
Recently a university in Taiwan was experiencing dramatic power usage increases due to its growing number of campus buildings and students. Aiming to analyze their power consumption and increase their power efficiency across 52 buildings, the university wanted to build a power management system utilizing web-based hardware and software. With these goals in mind, they contacted Advantech to help them develop their system and provide them with the means to save energy in the years to come.
Case Study
System 800xA at Indian Cement Plants
Chettinad Cement recognized that further efficiencies could be achieved in its cement manufacturing process. It looked to investing in comprehensive operational and control technologies to manage and derive productivity and energy efficiency gains from the assets on Line 2, their second plant in India.
Case Study
Intelligent Building Automation System and Energy Saving Solution
One of the most difficult problems facing the world is conserving energy in buildings. However, it is not easy to have a cost-effective solution to reduce energy usage in a building. One solution for saving energy is to implement an intelligent building automation system (BAS) which can be controlled according to its schedule. In Indonesia a large university with a five floor building and 22 classrooms wanted to save the amount of energy being used.
Case Study
Powering Smart Home Automation solutions with IoT for Energy conservation
Many industry leaders that offer Smart Energy Management products & solutions face challenges including:How to build a scalable platform that can automatically scale-up to on-board ‘n’ number of Smart home devicesData security, solution availability, and reliability are the other critical factors to deal withHow to create a robust common IoT platform that handles any kind of smart devicesHow to enable data management capabilities that would help in intelligent decision-making
Case Study
Commercial Building Automation Boosts Energy Efficiency
One of the challenges to building automation is the multitude of non-interoperable communications protocols that have evolved over the years. Buildings have several islands of automation. Bridging the islands of different automation without losing the considerable investment in each specialized control network is the main focus in this solution.